{"id":"W3092476896","doi":"10.3390/app10196945","title":"General Moving Object Localization from a Single Flying Camera","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Computer vision; Artificial intelligence; Object (grammar); Computer science; Stereo camera; Object detection; Computer graphics (images); Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006716283,0.0000995627,0.0001058365,0.0000405576,0.0002033337,0.0001272428,0.0001400388,0.00004115185,0.00004206246],"category_scores_gemma":[0.00001762454,0.00009625385,0.00002097298,0.0004590219,0.00006310323,0.00009785343,0.00002038851,0.00005681594,0.00003424343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002662079,"about_ca_system_score_gemma":0.00001686117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004449027,"about_ca_topic_score_gemma":0.00001201857,"domain_scores_codex":[0.9992278,0.000009525147,0.0001524021,0.0002154183,0.0002113473,0.0001835393],"domain_scores_gemma":[0.9997849,0.00003197441,0.00002436602,0.0000706892,0.00001415881,0.00007386698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001353323,0.000004063781,0.0002628458,0.000007143285,0.000004436487,9.869142e-7,0.0006597303,0.9019784,0.09044345,0.001434417,0.000246455,0.004956713],"study_design_scores_gemma":[0.00009366768,0.0000173429,0.00005611592,0.00000645716,0.00000589757,2.145271e-7,0.0003209525,0.9726042,0.02577591,0.000279236,0.000705072,0.0001349235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1787255,0.0001016112,0.8135393,0.0001248394,0.0001509523,0.00009468896,0.000003195791,0.0002569826,0.007002863],"genre_scores_gemma":[0.9889794,0.000009536013,0.01017167,0.0006172146,0.0001809958,0.000004633888,0.00001729725,0.00001448155,0.000004752233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8102539,"threshold_uncertainty_score":0.3925118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556413075098786,"score_gpt":0.2106191219273806,"score_spread":0.1850549911763927,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}